Python (Numpy) files: - volume_holoscopy : np.array.shape = (1024, 1024, 351) -> (x,y,z) - volume_digital_confocal : np.array.shape = (1024, 1024, 351) -> (x,y,z) - volume_matrix_imaging : np.array.shape = (1024, 1024, 351) -> (x,y,z) - distortion_ur_refocused_t122 : np.array.shape = (225, 1024, 1024) -> (u_in,xout,yout) - distortion_ur_refocused_t251 : np.array.shape = (225, 1024, 1024) -> (u_in,xout,yout) These files are also provided in .mat The three first files are 3D images of the cornea obtained by holoscopy, digital confocal miocroscopy and matrix imaging The two last files are distortion matrices refocused and time-gated at depth indices 122 and 251 that correspond to expected depths z_t=150 µm and 225 µm Focal plane (x,y): Transverse sampling in the (x,y) plane is 290 nm Axial sampling along z is 875 nm Pupil plane (u_in) : 15*15 illuminations (spatial sampling: 600 µm)

Optical data associated with the paper "Multi-Spectral Reflection Matrix for Ultra-Fast 3D Label-Free Microscopy".